Determinants of Generative AI in Promoting Green Purchasing Behavior: A Hybrid Partial Least Squares–Artificial Neural Network Approach

Business Strategy and the Environment, Год журнала: 2025, Номер unknown

Опубликована: Фев. 11, 2025

ABSTRACT In the era of rapid technological advancement, generative artificial intelligence (AI) has emerged as a transformative force in various sectors, including environmental sustainability. This research investigates factors and consequences using AI to access information influence green purchasing behavior. It integrates theories such adoption model, value–belief–norm theory, elaboration likelihood cognitive dissonance theory pinpoint prioritize determinants usage for Data from 467 participants were analyzed hybrid methodology that blends partial least squares (PLS) with neural networks (ANN). The PLS outcomes indicate interactivity, responsiveness, knowledge acquisition application, concern, ascription responsibility are key predictors use information. Furthermore, concerns, values, personal norms, responsibility, individual impact, emerge ANN analysis offers unique perspective discloses variations hierarchy these predictors. provides valuable insights stakeholders on harnessing promote sustainable consumer behaviors

Язык: Английский

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Why users continue E-commerce chatbots? Insights from PLS-fsQCA-NCA approach

Service Industries Journal, Год журнала: 2024, Номер unknown, С. 1 - 31

Опубликована: Июль 12, 2024

Язык: Английский

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Determinants of intention to use ChatGPT for obtaining shopping information

The Journal of Marketing Theory and Practice, Год журнала: 2024, Номер unknown, С. 1 - 18

Опубликована: Июль 26, 2024

Drawing on the "Technology Acceptance Model" (TAM) and "Elaboration Likelihood Model," this study explored determinants of intention to use ChatGPT obtain shopping information. We extended TAM by incorporating perceived enjoyment. Data were collected from 412 Malaysians analyzed using "Partial Least Squares" approach. Findings confirmed significance enjoyment, revealing that information accuracy, completeness, diagnosticity greatly influence usefulness. These results enhance understanding ChatGPT's in gathering, extend TAM, highlight how informational cues impact usefulness, guiding developers marketers encourage customer text generators.

Язык: Английский

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Investigating the crucial role of logistics service quality in customer satisfaction for fresh e-commerce: A mutually validating method based on SERVQUAL and service encounter theory

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 81, С. 103940 - 103940

Опубликована: Июнь 13, 2024

Язык: Английский

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Do nonlinear and interactive effects exist in live-streaming sellers’ disclosure of two-sided product information on consumers’ trust and purchase intention?

Asia Pacific Journal of Marketing and Logistics, Год журнала: 2024, Номер 36(11), С. 2889 - 2906

Опубликована: Май 7, 2024

Purpose This study examines the inverted U-shaped relationship between a live-streaming seller’s disclosure of two-sided product information and consumers’ trust in seller product. It also explores interaction these two types their impact on purchase intention sales context. Design/methodology/approach An e-questionnaire survey was conducted China, followed by multiple regression structural equation modeling analyses. Findings The both negative positive is positively correlated with or but does not directly affect intention. Negative neither enhances nor diminishes disclosing consumer trust. Practical implications Live-streaming sellers (i.e. retailers manufacturers) should disclose to form toward them (or products) enhance sales. Social often worry about effects excessive promotions information. However, were statistically significant. Originality/value Since some researchers have found nonlinear other contexts, this first focus sellers’ context rather than per se .

Язык: Английский

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“What Can I Trust”: Exploring Impact of Dual-Channel Service Review Quality on Patients’ Online Healthcare Choices

Patient Education and Counseling, Год журнала: 2025, Номер 134, С. 108699 - 108699

Опубликована: Фев. 7, 2025

Язык: Английский

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Sustained use of generative AI for shopping: a PLS-ANN analysis

Service Industries Journal, Год журнала: 2025, Номер unknown, С. 1 - 34

Опубликована: Апрель 3, 2025

Язык: Английский

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Determinants of ChatGPT adoption among students in higher education: the moderating effect of trust

The Electronic Library, Год журнала: 2024, Номер unknown

Опубликована: Окт. 11, 2024

Purpose ChatGPT is a cutting-edge chatbot powered by artificial intelligence that could revolutionise and advance the teaching learning process. Drawing on technology acceptance model (TAM) information system (IS) success model, this study aims to investigate determinants of students’ intention use for education purposes. Design/methodology/approach The partial least squares technique was used analyse 406 usable data collected from university students in Malaysia. Findings results confirmed relationships between perceived usefulness (PU), ease (PEU), attitude proposed TAM. PU PEU are influenced quality. Surprisingly, trust moderates negatively influences attitude. Practical implications findings provide insight higher institutions, unit instructors developers what may promote education. Originality/value contributes literature exploring adoption, extending TAM incorporating IS factors assessing moderating effect information.

Язык: Английский

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Is It Both Sufficient and Necessary to Disclose Environmental Information Regarding the Origin on Consumer Purchases?

Sustainability, Год журнала: 2024, Номер 16(12), С. 5017 - 5017

Опубликована: Июнь 12, 2024

Investigating the correlation between information disclosure and consumers’ purchasing decisions is crucial for comprehending consumer behavior mechanisms stimulating their buying behavior. Drawing upon signaling theory “stimulus-organism-response” (S-O-R) model, this research leverages questionnaire responses from 338 consumers. It utilizes Structural Equation Modeling (SEM) to investigate influence fundamental of environmental disclosure, trust (competence, benevolence, integrity), online purchase intention green agricultural products. The antecedents required are identified through Necessary Condition Analysis (NCA). This shows that regarding origins products positively impacts intention, with competence benevolence being as playing intermediary roles in relationship, while integrity does not play a significant mediating role. about product’s origin necessary condition influencing decisions. Merchants encouraged proactively disclose more advised focus on maintaining enhance intentions, thereby fostering advancement consumption.

Язык: Английский

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Predicting user behavior on s-commerce platforms: a novel model

Kybernetes, Год журнала: 2024, Номер unknown

Опубликована: Окт. 24, 2024

Purpose This study investigates the influence of wisdom crowd (WSC), trust and perceived value on consumer purchase intentions within social commerce (s-commerce) platforms. By constructing a novel theoretical model, research aims to delineate interrelationships among these variables, addressing an emerging area in interactions information technology. Design/methodology/approach To empirically test validate proposed collected data from 442 Facebook users familiar with online shopping. The analysis employed Structural Equation Modeling – Partial Least Squares (SEM-PLS) hypotheses examine relationships between WSC, trust, intentions. Findings findings confirm that WSC significantly influences intention s-commerce Both are substantial determinants Notably, PLS revealed accounts for 36.8% variance 33.1% related purchasing decisions Originality/value contributes uniquely ongoing discourse adoption by integrating as pivotal factor understanding It provides fresh perspective how collective intelligence affects behavior digital marketplaces, enriching practical dynamics.

Язык: Английский

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